AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 914 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
2. 2.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
3. 3.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) recognising (d) predicting
4. 4.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) add more of the same (d) skip testing
5. 5.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) sorting photos by face (c) inventing a recipe (d) suggesting a video
6. 6.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
7. 7.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) predicting (d) sleeping
8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
9. 9.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) long answers are true (d) AI copies data patterns
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
11. 11.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can mix up numbers (c) AI can make up facts (d) AI can be wrong
13. 13.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recognising (c) predicting (d) recommending
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is not AI? (a) an AI chatbot (b) a spam filter (c) a light switch (d) a voice assistant
19. 19.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a battery (c) a label (d) a password
20. 20.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
21. 21.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
22. 22.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) ignore complaints
23. 23.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
24. 24.True or false: “a poster of a rainforest” asks for music or sound. (a) False (b) True
25. 25.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
26. 26.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) one set rule per case (d) makes a best guess
27. 27.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
30. 30.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
31. 31.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) learns from examples (d) does exactly as coded
32. 32.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
33. 33.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) unlocking with a face (c) creating a cartoon (d) spotting a sick leaf
34. 34.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) testing on training data (d) photos in many lights
35. 35.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) blurry, unclear photos (d) photos in many lights
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
38. 38.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) testing on training data (d) correct labels
39. 39.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) generating (d) recommending
40. 40.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new

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